Senior AI Engineer - Generative AI

Senior - Gen AI

Description

About KPMG in India

KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada. 

KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment.

We are looking for an experienced AI Engineer with strong hands‑on expertise in AI development, Azure Cloud engineering, and modern LLM/Copilot solutions. The ideal candidate should have solid experience with AI Foundry, agent orchestration, and advanced data engineering tools such as Databricks, Genie, and Mozakke.

Must‑Have Skills

• Strong hands-on expertise in: 
  • AI Foundry / AI platforms
  • Python programming
  • Azure Cloud development
  • Copilot development & LLM integration
  • Agent orchestration frameworks
• Experience with: 
  • Databricks (data engineering, ML workflows)
  • Genie
  • Mozakke
• Solid understanding of MLOps, API integration, and cloud-native deployment.

Good-to-Have

• Experience with Azure OpenAI Services
• Knowledge of vector databases and embeddings
• Familiarity with enterprise security standards and governance for AI solutions

Exposure to data pipelines, ETL, automation

Responsibilities

Key Responsibilities

• Design, build, and deploy AI/ML solutions using AI Foundry and Azure AI capabilities.
• Develop scalable applications using Python and integrate AI models into enterprise services.
• Implement Azure Cloud development practices including PaaS, serverless compute, and secure cloud architectures.
• Build, test, and optimize LLM-based Copilot solutions and implement agent orchestration workflows.
• Work with Databricks, Genie, and Mozakke for data processing, model training, and analytics workflows.
• Collaborate with product, data, and engineering teams to define requirements and technical architecture.
• Ensure high-quality delivery through code reviews, CI/CD, and best engineering practices.

Equal employment opportunity information 

KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you.